Evidence map›Paper›PMID 39590208›Full record

ArticleJournal of cardiovascular development and disease2024

Empowering EVAR: Revolutionizing Patient Understanding and Qualification with 3D Printing.

Michał Kargul, Patryk Skórka, Piotr Gutowski, Arkadiusz Kazimierczak, Paweł Rynio

Abstract read
In one paragraph

Article in Journal of cardiovascular development and disease, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Trial
  2. Observational
  3. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Michał KargulDepartment of Vascular Surgery, Pomeranian Medical University in Szczecin, Al. Powstańców Wielkopolskich 72, 70-111 Szczecin, Poland.ORCID 0000-0001-6805-9090
Patryk SkórkaDepartment of Vascular Surgery, Pomeranian Medical University in Szczecin, Al. Powstańców Wielkopolskich 72, 70-111 Szczecin, Poland.
Piotr GutowskiDepartment of Vascular Surgery, Pomeranian Medical University in Szczecin, Al. Powstańców Wielkopolskich 72, 70-111 Szczecin, Poland.
Arkadiusz KazimierczakDepartment of Vascular Surgery, Pomeranian Medical University in Szczecin, Al. Powstańców Wielkopolskich 72, 70-111 Szczecin, Poland.
Paweł RynioDepartment of Vascular Surgery, Pomeranian Medical University in Szczecin, Al. Powstańców Wielkopolskich 72, 70-111 Szczecin, Poland.ORCID 0000-0003-3365-1822

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThis study addresses the need for enhanced patient education in the context of abdominal aortic aneurysm (AAA) and its treatment through endovascular aneurysm repair (EVAR). Effective patient education is essential for improving comprehension and engagement, particularly for those facing complex medical conditions.

methodsA total of 55 patients scheduled for EVAR participated in the study. Patient-specific three-dimensional (3D)-printed models of the participants' aneurysms were created using computed tomography angiogram (CTA) scans. The educational intervention included a structured session utilizing these 3D models, with assessments conducted before and after the session, including the Mini-Mental State Examination (MMSE). Statistical analyses evaluated the knowledge gain and its correlation with cognitive function.

resultsThe results showed a significant increase in knowledge scores post-education (

conclusionsThis study demonstrates the potential of patient-specific 3D models to enhance patient education in the context of EVAR, improving patients' understanding of their medical condition and the procedure and thereby facilitating more informed decision-making.

Indexed as

3D printingendovascular aneurysm repair (EVAR)patient educationpreoperative education

Identifiers

PMID39590208
PMCPMC11594954

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.